Course Information

• Syllabus
• Book Chapters
• Info Sheet
• Schedule
• Expectations
• Competencies
• Optimization Software
• YouTube Channel

Homework

• 1-Optimization Basics
• 2-Two Bar Truss
• 3-Spring Design
• 4-Heat Integration
• 5-Slurry Pipeline
• 6-Quasi-Newton Methods
• 7-Discrete Design
• 8-Simulated Annealing
• 9-KKT Conditions
• 10-Interior Point Method
• 11-Dynamic Estimation
• 12-Vapor Liquid Equilibrium
• 13-Ethyl Acetate Kinetics
• 14-Dye Fading Kinetics

Projects

• Application Project
• Solver Project

Activities

• MATLAB and Python
• Equation Residuals
• Financial Objectives
• Parallel Computing
• Advanced Programming
• Logical Conditions
• Simulated Annealing
• Climate Control

Lecture Notes

• Optimization Introduction
• Mathematical Modeling
• Unconstrained Optimization
• Discrete Optimization
• Genetic Algorithms
• Constrained Optimization
• Robust Optimization
• Dynamic Optimization

Extra Content

• Box Folding
• Circle Challenge
• Linear Programming
• Minimax or Maximin

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